Comparing Original Data and Synthetic Data

Dataset statistics

	Original Data	Synthetic Data
Number of variables	15	15
Number of observations	14000	14000
Missing cells	0	6
Missing cells (%)	0.0%	< 0.1%
Duplicate rows	7	4
Duplicate rows (%)	0.1%	< 0.1%
Total size in memory	1.6 MiB	1.6 MiB
Average record size in memory	120.0 B	120.0 B

Variable types

	Original Data	Synthetic Data
Numeric	6	5
Categorical	9	10

Alerts

Original Data	Synthetic Data
Dataset has 7 (0.1%) duplicate rows	Dataset has 4 (< 0.1%) duplicate rows	Duplicates
`education_num` is highly overall correlated with `education`	`education_num` is highly overall correlated with `education`	High Correlation
`education` is highly overall correlated with `education_num`	`education` is highly overall correlated with `education_num`	High Correlation
`relationship` is highly overall correlated with `gender`	`relationship` is highly overall correlated with `gender`	High Correlation
`gender` is highly overall correlated with `relationship`	`gender` is highly overall correlated with `relationship`	High Correlation
`race` is highly imbalanced (65.3%)	`race` is highly imbalanced (75.2%)	Imbalance
`native_country` is highly imbalanced (82.5%)	`native_country` is highly imbalanced (84.9%)	Imbalance
`capital_gain` has 12811 (91.5%) zeros	Alert not present in	Zeros
`capital_loss` has 13354 (95.4%) zeros	`capital_loss` has 13659 (97.6%) zeros	Zeros
Alert not present in	`capital_gain` has a high cardinality: 108 distinct values	High Cardinality
Alert not present in	`capital_gain` is highly imbalanced (90.5%)	Imbalance
Alert not present in	`fnlwgt` is highly skewed (γ1 = 33.69087698)	Skewed
Alert not present in	`capital_loss` is highly skewed (γ1 = 30.03470007)	Skewed

Reproduction

	Original Data	Synthetic Data
Analysis started	2023-01-21 11:11:05.341314	2023-01-21 11:11:15.184928
Analysis finished	2023-01-21 11:11:15.161551	2023-01-21 11:11:22.636424
Duration	9.82 seconds	7.45 seconds
Software version	pandas-profiling vv3.6.2	pandas-profiling vv3.6.2
Download configuration	config.json	config.json

age
Real number (ℝ)

	Original Data	Synthetic Data
Distinct	72	69
Distinct (%)	0.5%	0.5%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	38.492714	38.523286

	Original Data	Synthetic Data
Minimum	17	1
Maximum	90	90
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

Quantile statistics

	Original Data	Synthetic Data
Minimum	17	1
5-th percentile	20	20
Q1	27	27
median	37	38
Q3	47	48
95-th percentile	63	62
Maximum	90	90
Range	73	89
Interquartile range (IQR)	20	21

Descriptive statistics

	Original Data	Synthetic Data
Standard deviation	13.684022	13.439151
Coefficient of variation (CV)	0.35549642	0.34885787
Kurtosis	-0.098493391	-0.30808631
Mean	38.492714	38.523286
Median Absolute Deviation (MAD)	10	10
Skewness	0.58416581	0.4923188
Sum	538898	539326
Variance	187.25246	180.61079
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36	381	2.7%
23	381	2.7%
30	379	2.7%
34	373	2.7%
31	372	2.7%
28	369	2.6%
41	368	2.6%
37	367	2.6%
24	366	2.6%
25	364	2.6%
Other values (62)	10280	73.4%

Value	Count	Frequency (%)
28	515	3.7%
25	479	3.4%
24	466	3.3%
40	449	3.2%
41	440	3.1%
48	421	3.0%
45	412	2.9%
21	406	2.9%
23	398	2.8%
46	397	2.8%
Other values (59)	9617	68.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	184	1.3%
18	237	1.7%
19	273	1.9%
20	341	2.4%
21	326	2.3%
22	341	2.4%
23	381	2.7%
24	366	2.6%
25	364	2.6%
26	334	2.4%

Value	Count	Frequency (%)
1	1	< 0.1%
17	134	1.0%
18	206	1.5%
19	219	1.6%
20	360	2.6%
21	406	2.9%
22	262	1.9%
23	398	2.8%
24	466	3.3%
25	479	3.4%

Value	Count	Frequency (%)
1	1	< 0.1%
17	134	1.0%
18	206	1.5%
19	219	1.6%
20	360	2.6%
21	406	2.9%
22	262	1.9%
23	398	2.8%
24	466	3.3%
25	479	3.4%

Value	Count	Frequency (%)
17	184	1.3%
18	237	1.7%
19	273	1.9%
20	341	2.4%
21	326	2.3%
22	341	2.4%
23	381	2.7%
24	366	2.6%
25	364	2.6%
26	334	2.4%

workclass
Categorical

	Original Data	Synthetic Data
Distinct	8	8
Distinct (%)	0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

Private	9743
Self-emp-not-inc	1116
Local-gov	887
?	810
State-gov	555
Other values (3)	889

Private	10258
?	884
Self-emp-not-inc	857
Local-gov	759
Self-emp-inc	422
Other values (3)	820

Length

	Original Data	Synthetic Data
Max length	16	16
Median length	7	7
Mean length	7.8645714	7.6055
Min length	1	1

Characters and Unicode

	Original Data	Synthetic Data
Total characters	110104	106477
Distinct characters	25	25
Distinct categories	4	4 ?
Distinct scripts	2	2 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Data	Synthetic Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Original Data	Synthetic Data
1st row	?	?
2nd row	Private	Private
3rd row	Private	Private
4th row	Private	Private
5th row	?	Private

Common Values

Value	Count	Frequency (%)
Private	9743	69.6%
Self-emp-not-inc	1116	8.0%
Local-gov	887	6.3%
?	810	5.8%
State-gov	555	4.0%
Self-emp-inc	480	3.4%
Federal-gov	399	2.9%
Without-pay	10	0.1%

Value	Count	Frequency (%)
Private	10258	73.3%
?	884	6.3%
Self-emp-not-inc	857	6.1%
Local-gov	759	5.4%
Self-emp-inc	422	3.0%
State-gov	420	3.0%
Federal-gov	396	2.8%
Without-pay	4	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Data

Synthetic Data

Value	Count	Frequency (%)
private	9743	69.6%
self-emp-not-inc	1116	8.0%
local-gov	887	6.3%
	810	5.8%
state-gov	555	4.0%
self-emp-inc	480	3.4%
federal-gov	399	2.9%
without-pay	10	0.1%

Value	Count	Frequency (%)
private	10258	73.3%
	884	6.3%
self-emp-not-inc	857	6.1%
local-gov	759	5.4%
self-emp-inc	422	3.0%
state-gov	420	3.0%
federal-gov	396	2.8%
without-pay	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	14288	13.0%
t	11989	10.9%
a	11594	10.5%
v	11584	10.5%
i	11349	10.3%
r	10142	9.2%
P	9743	8.8%
-	6159	5.6%
o	3854	3.5%
l	2882	2.6%
Other values (15)	16520	15.0%

Value	Count	Frequency (%)
e	14028	13.2%
t	11963	11.2%
a	11837	11.1%
v	11833	11.1%
i	11541	10.8%
r	10654	10.0%
P	10258	9.6%
-	4994	4.7%
o	3195	3.0%
l	2434	2.3%
Other values (15)	13740	12.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	89945	81.7%
Uppercase Letter	13190	12.0%
Dash Punctuation	6159	5.6%
Other Punctuation	810	0.7%

Value	Count	Frequency (%)
Lowercase Letter	87483	82.2%
Uppercase Letter	13116	12.3%
Dash Punctuation	4994	4.7%
Other Punctuation	884	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	14288	15.9%
t	11989	13.3%
a	11594	12.9%
v	11584	12.9%
i	11349	12.6%
r	10142	11.3%
o	3854	4.3%
l	2882	3.2%
n	2712	3.0%
c	2483	2.8%
Other values (8)	7068	7.9%

Value	Count	Frequency (%)
e	14028	16.0%
t	11963	13.7%
a	11837	13.5%
v	11833	13.5%
i	11541	13.2%
r	10654	12.2%
o	3195	3.7%
l	2434	2.8%
n	2136	2.4%
c	2038	2.3%
Other values (8)	5824	6.7%

Uppercase Letter

Value	Count	Frequency (%)
P	9743	73.9%
S	2151	16.3%
L	887	6.7%
F	399	3.0%
W	10	0.1%

Value	Count	Frequency (%)
P	10258	78.2%
S	1699	13.0%
L	759	5.8%
F	396	3.0%
W	4	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	6159	100.0%

Value	Count	Frequency (%)
-	4994	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	810	100.0%

Value	Count	Frequency (%)
?	884	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	103135	93.7%
Common	6969	6.3%

Value	Count	Frequency (%)
Latin	100599	94.5%
Common	5878	5.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14288	13.9%
t	11989	11.6%
a	11594	11.2%
v	11584	11.2%
i	11349	11.0%
r	10142	9.8%
P	9743	9.4%
o	3854	3.7%
l	2882	2.8%
n	2712	2.6%
Other values (13)	12998	12.6%

Value	Count	Frequency (%)
e	14028	13.9%
t	11963	11.9%
a	11837	11.8%
v	11833	11.8%
i	11541	11.5%
r	10654	10.6%
P	10258	10.2%
o	3195	3.2%
l	2434	2.4%
n	2136	2.1%
Other values (13)	10720	10.7%

Common

Value	Count	Frequency (%)
-	6159	88.4%
?	810	11.6%

Value	Count	Frequency (%)
-	4994	85.0%
?	884	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	110104	100.0%

Value	Count	Frequency (%)
ASCII	106477	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	14288	13.0%
t	11989	10.9%
a	11594	10.5%
v	11584	10.5%
i	11349	10.3%
r	10142	9.2%
P	9743	8.8%
-	6159	5.6%
o	3854	3.5%
l	2882	2.6%
Other values (15)	16520	15.0%

Value	Count	Frequency (%)
e	14028	13.2%
t	11963	11.2%
a	11837	11.1%
v	11833	11.1%
i	11541	10.8%
r	10654	10.0%
P	10258	9.6%
-	4994	4.7%
o	3195	3.0%
l	2434	2.3%
Other values (15)	13740	12.9%

fnlwgt
Real number (ℝ)

	Original Data	Synthetic Data
Distinct	11258	7359
Distinct (%)	80.4%	52.6%
Missing	0	4
Missing (%)	0.0%	< 0.1%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	189421.81	193648.07

	Original Data	Synthetic Data
Minimum	12285	4
Maximum	1484705	15129410
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

Quantile statistics

	Original Data	Synthetic Data
Minimum	12285	4
5-th percentile	39235.35	38772
Q1	118095.5	116632
median	179533	178882.5
Q3	236858.75	234460
95-th percentile	377759.05	377930.25
Maximum	1484705	15129410
Range	1472420	15129406
Interquartile range (IQR)	118763.25	117828

Descriptive statistics

	Original Data	Synthetic Data
Standard deviation	104509.84	203944.58
Coefficient of variation (CV)	0.55173077	1.0531712
Kurtosis	6.02804	2147.0835
Mean	189421.81	193648.07
Median Absolute Deviation (MAD)	59954.5	59719.5
Skewness	1.3977123	33.690877
Sum	2.6519054 × 10⁹	2.7102984 × 10⁹
Variance	1.0922307 × 10¹⁰	4.159339 × 10¹⁰
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
177675	8	0.1%
113364	8	0.1%
125461	7	0.1%
190290	7	0.1%
193882	7	0.1%
126675	7	0.1%
194901	7	0.1%
121124	7	0.1%
117963	7	0.1%
143582	6	< 0.1%
Other values (11248)	13929	99.5%

Value	Count	Frequency (%)
148995	21	0.1%
104196	19	0.1%
32732	18	0.1%
190290	18	0.1%
143582	17	0.1%
99185	17	0.1%
417668	17	0.1%
272944	16	0.1%
144778	16	0.1%
193882	15	0.1%
Other values (7349)	13822	98.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12285	1	< 0.1%
14878	1	< 0.1%
19214	1	< 0.1%
19302	3	< 0.1%
19395	2	< 0.1%
19410	1	< 0.1%
19700	1	< 0.1%
19752	1	< 0.1%
19793	1	< 0.1%
19899	1	< 0.1%

Value	Count	Frequency (%)
4	1	< 0.1%
108	1	< 0.1%
828	1	< 0.1%
2013	1	< 0.1%
3125	1	< 0.1%
3413	1	< 0.1%
3487	1	< 0.1%
3788	1	< 0.1%
3908	1	< 0.1%
3911	1	< 0.1%

Value	Count	Frequency (%)
4	1	< 0.1%
108	1	< 0.1%
828	1	< 0.1%
2013	1	< 0.1%
3125	1	< 0.1%
3413	1	< 0.1%
3487	1	< 0.1%
3788	1	< 0.1%
3908	1	< 0.1%
3911	1	< 0.1%

Value	Count	Frequency (%)
12285	1	< 0.1%
14878	1	< 0.1%
19214	1	< 0.1%
19302	3	< 0.1%
19395	2	< 0.1%
19410	1	< 0.1%
19700	1	< 0.1%
19752	1	< 0.1%
19793	1	< 0.1%
19899	1	< 0.1%

education
Categorical

	Original Data	Synthetic Data
Distinct	16	16
Distinct (%)	0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

HS-grad	4452
Some-college	3163
Bachelors	2319
Masters	734
Assoc-voc	624
Other values (11)	2708

HS-grad	4650
Some-college	3020
Bachelors	2522
Assoc-voc	707
Masters	650
Other values (11)	2451

Length

	Original Data	Synthetic Data
Max length	12	12
Median length	11	11
Mean length	8.439	8.4553571
Min length	3	3

Characters and Unicode

	Original Data	Synthetic Data
Total characters	118146	118375
Distinct characters	31	31
Distinct categories	4	4 ?
Distinct scripts	2	2 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Data	Synthetic Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Original Data	Synthetic Data
1st row	11th	11th
2nd row	Doctorate	10th
3rd row	Bachelors	9th
4th row	Assoc-acdm	5th-6th
5th row	Some-college	HS-grad

Common Values

Value	Count	Frequency (%)
HS-grad	4452	31.8%
Some-college	3163	22.6%
Bachelors	2319	16.6%
Masters	734	5.2%
Assoc-voc	624	4.5%
11th	528	3.8%
Assoc-acdm	452	3.2%
10th	408	2.9%
7th-8th	297	2.1%
Prof-school	233	1.7%
Other values (6)	790	5.6%

Value	Count	Frequency (%)
HS-grad	4650	33.2%
Some-college	3020	21.6%
Bachelors	2522	18.0%
Assoc-voc	707	5.1%
Masters	650	4.6%
11th	470	3.4%
Assoc-acdm	407	2.9%
10th	355	2.5%
7th-8th	299	2.1%
Prof-school	202	1.4%
Other values (6)	718	5.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Synthetic Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
hs-grad	4452	31.8%
some-college	3163	22.6%
bachelors	2319	16.6%
masters	734	5.2%
assoc-voc	624	4.5%
11th	528	3.8%
assoc-acdm	452	3.2%
10th	408	2.9%
7th-8th	297	2.1%
prof-school	233	1.7%
Other values (6)	790	5.6%

Value	Count	Frequency (%)
hs-grad	4650	33.2%
some-college	3020	21.6%
bachelors	2522	18.0%
assoc-voc	707	5.1%
masters	650	4.6%
11th	470	3.4%
assoc-acdm	407	2.9%
10th	355	2.5%
7th-8th	299	2.1%
prof-school	202	1.4%
Other values (6)	718	5.1%

Most occurring characters

Value	Count	Frequency (%)
e	12723	10.8%
o	11406	9.7%
-	9434	8.0%
l	8894	7.5%
a	8122	6.9%
c	8048	6.8%
r	7919	6.7%
g	7615	6.4%
S	7615	6.4%
s	6256	5.3%
Other values (21)	30114	25.5%

Value	Count	Frequency (%)
e	12421	10.5%
o	11367	9.6%
-	9495	8.0%
l	8783	7.4%
a	8399	7.1%
r	8213	6.9%
c	8161	6.9%
g	7670	6.5%
S	7670	6.5%
s	6329	5.3%
Other values (21)	29867	25.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	88627	75.0%
Uppercase Letter	16610	14.1%
Dash Punctuation	9434	8.0%
Decimal Number	3475	2.9%

Value	Count	Frequency (%)
Lowercase Letter	88735	75.0%
Uppercase Letter	16997	14.4%
Dash Punctuation	9495	8.0%
Decimal Number	3148	2.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12723	14.4%
o	11406	12.9%
l	8894	10.0%
a	8122	9.2%
c	8048	9.1%
r	7919	8.9%
g	7615	8.6%
s	6256	7.1%
d	4904	5.5%
h	4852	5.5%
Other values (4)	7888	8.9%

Value	Count	Frequency (%)
e	12421	14.0%
o	11367	12.8%
l	8783	9.9%
a	8399	9.5%
r	8213	9.3%
c	8161	9.2%
g	7670	8.6%
s	6329	7.1%
d	5057	5.7%
h	4847	5.5%
Other values (4)	7488	8.4%

Dash Punctuation

Value	Count	Frequency (%)
-	9434	100.0%

Value	Count	Frequency (%)
-	9495	100.0%

Uppercase Letter

Value	Count	Frequency (%)
S	7615	45.8%
H	4452	26.8%
B	2319	14.0%
A	1076	6.5%
M	734	4.4%
P	249	1.5%
D	165	1.0%

Value	Count	Frequency (%)
S	7670	45.1%
H	4650	27.4%
B	2522	14.8%
A	1114	6.6%
M	650	3.8%
P	221	1.3%
D	170	1.0%

Decimal Number

Value	Count	Frequency (%)
1	1719	49.5%
0	408	11.7%
7	297	8.5%
8	297	8.5%
9	209	6.0%
2	187	5.4%
5	145	4.2%
6	145	4.2%
4	68	2.0%

Value	Count	Frequency (%)
1	1514	48.1%
0	355	11.3%
7	299	9.5%
8	299	9.5%
2	161	5.1%
9	158	5.0%
5	152	4.8%
6	152	4.8%
4	58	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	105237	89.1%
Common	12909	10.9%

Value	Count	Frequency (%)
Latin	105732	89.3%
Common	12643	10.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12723	12.1%
o	11406	10.8%
l	8894	8.5%
a	8122	7.7%
c	8048	7.6%
r	7919	7.5%
g	7615	7.2%
S	7615	7.2%
s	6256	5.9%
d	4904	4.7%
Other values (11)	21735	20.7%

Value	Count	Frequency (%)
e	12421	11.7%
o	11367	10.8%
l	8783	8.3%
a	8399	7.9%
r	8213	7.8%
c	8161	7.7%
g	7670	7.3%
S	7670	7.3%
s	6329	6.0%
d	5057	4.8%
Other values (11)	21662	20.5%

Common

Value	Count	Frequency (%)
-	9434	73.1%
1	1719	13.3%
0	408	3.2%
7	297	2.3%
8	297	2.3%
9	209	1.6%
2	187	1.4%
5	145	1.1%
6	145	1.1%
4	68	0.5%

Value	Count	Frequency (%)
-	9495	75.1%
1	1514	12.0%
0	355	2.8%
7	299	2.4%
8	299	2.4%
2	161	1.3%
9	158	1.2%
5	152	1.2%
6	152	1.2%
4	58	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	118146	100.0%

Value	Count	Frequency (%)
ASCII	118375	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12723	10.8%
o	11406	9.7%
-	9434	8.0%
l	8894	7.5%
a	8122	6.9%
c	8048	6.8%
r	7919	6.7%
g	7615	6.4%
S	7615	6.4%
s	6256	5.3%
Other values (21)	30114	25.5%

Value	Count	Frequency (%)
e	12421	10.5%
o	11367	9.6%
-	9495	8.0%
l	8783	7.4%
a	8399	7.1%
r	8213	6.9%
c	8161	6.9%
g	7670	6.5%
S	7670	6.5%
s	6329	5.3%
Other values (21)	29867	25.2%

education_num
Real number (ℝ)

	Original Data	Synthetic Data
Distinct	16	16
Distinct (%)	0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	10.071714	10.116571

	Original Data	Synthetic Data
Minimum	1	1
Maximum	16	16
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

Quantile statistics

	Original Data	Synthetic Data
Minimum	1	1
5-th percentile	5	6
Q1	9	9
median	10	10
Q3	12	13
95-th percentile	14	14
Maximum	16	16
Range	15	15
Interquartile range (IQR)	3	4

Descriptive statistics

	Original Data	Synthetic Data
Standard deviation	2.5620383	2.521849
Coefficient of variation (CV)	0.25437956	0.24927902
Kurtosis	0.58744484	0.71457805
Mean	10.071714	10.116571
Median Absolute Deviation (MAD)	1	1
Skewness	-0.31432088	-0.34253642
Sum	141004	141632
Variance	6.5640402	6.3597225
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
9	4452	31.8%
10	3163	22.6%
13	2319	16.6%
14	734	5.2%
11	624	4.5%
7	528	3.8%
12	452	3.2%
6	408	2.9%
4	297	2.1%
15	233	1.7%
Other values (6)	790	5.6%

Value	Count	Frequency (%)
9	4650	33.2%
10	3020	21.6%
13	2522	18.0%
11	707	5.1%
14	650	4.6%
7	470	3.4%
12	407	2.9%
6	355	2.5%
4	299	2.1%
15	202	1.4%
Other values (6)	718	5.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	16	0.1%
2	68	0.5%
3	145	1.0%
4	297	2.1%
5	209	1.5%
6	408	2.9%
7	528	3.8%
8	187	1.3%
9	4452	31.8%
10	3163	22.6%

Value	Count	Frequency (%)
1	19	0.1%
2	58	0.4%
3	152	1.1%
4	299	2.1%
5	158	1.1%
6	355	2.5%
7	470	3.4%
8	161	1.1%
9	4650	33.2%
10	3020	21.6%

Value	Count	Frequency (%)
1	19	0.1%
2	58	0.4%
3	152	1.1%
4	299	2.1%
5	158	1.1%
6	355	2.5%
7	470	3.4%
8	161	1.1%
9	4650	33.2%
10	3020	21.6%

Value	Count	Frequency (%)
1	16	0.1%
2	68	0.5%
3	145	1.0%
4	297	2.1%
5	209	1.5%
6	408	2.9%
7	528	3.8%
8	187	1.3%
9	4452	31.8%
10	3163	22.6%

marital_status
Categorical

	Original Data	Synthetic Data
Distinct	7	9
Distinct (%)	0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

Married-civ-spouse	6417
Never-married	4661
Divorced	1880
Separated	439
Widowed	426
Other values (2)	177

Married-civ-spouse	6269
Never-married	4932
Divorced	2023
Separated	387
Widowed	368
Other values (4)	21

Length

	Original Data	Synthetic Data
Max length	21	21
Median length	18	18
Mean length	14.412071	14.258786
Min length	7	7

Characters and Unicode

	Original Data	Synthetic Data
Total characters	201769	199623
Distinct characters	24	24
Distinct categories	3	3 ?
Distinct scripts	2	2 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Data	Synthetic Data
Unique	0	3 ?
Unique (%)	0.0%	< 0.1%

Sample

	Original Data	Synthetic Data
1st row	Never-married	Married-civ-spouse
2nd row	Divorced	Married-civ-spouse
3rd row	Never-married	Married-civ-spouse
4th row	Divorced	Married-civ-spouse
5th row	Never-married	Never-married

Common Values

Value	Count	Frequency (%)
Married-civ-spouse	6417	45.8%
Never-married	4661	33.3%
Divorced	1880	13.4%
Separated	439	3.1%
Widowed	426	3.0%
Married-spouse-absent	172	1.2%
Married-AF-spouse	5	< 0.1%

Value	Count	Frequency (%)
Married-civ-spouse	6269	44.8%
Never-married	4932	35.2%
Divorced	2023	14.4%
Separated	387	2.8%
Widowed	368	2.6%
Married-spouse-absent	18	0.1%
rried-civ-spouse	1	< 0.1%
-civ-spouse	1	< 0.1%
Married-AF-spouse	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Data

Synthetic Data

Value	Count	Frequency (%)
married-civ-spouse	6417	45.8%
never-married	4661	33.3%
divorced	1880	13.4%
separated	439	3.1%
widowed	426	3.0%
married-spouse-absent	172	1.2%
married-af-spouse	5	< 0.1%

Value	Count	Frequency (%)
married-civ-spouse	6269	44.8%
never-married	4932	35.2%
divorced	2023	14.4%
separated	387	2.8%
widowed	368	2.6%
married-spouse-absent	18	0.1%
rried-civ-spouse	1	< 0.1%
civ-spouse	1	< 0.1%
married-af-spouse	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	30527	15.1%
r	29490	14.6%
i	19978	9.9%
-	17849	8.8%
d	14426	7.1%
s	13360	6.6%
v	12958	6.4%
a	12305	6.1%
o	8900	4.4%
c	8297	4.1%
Other values (14)	33679	16.7%

Value	Count	Frequency (%)
e	30558	15.3%
r	29784	14.9%
i	19883	10.0%
-	17512	8.8%
d	14367	7.2%
v	13226	6.6%
s	12598	6.3%
a	12012	6.0%
o	8681	4.3%
c	8294	4.2%
Other values (14)	32708	16.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	169910	84.2%
Dash Punctuation	17849	8.8%
Uppercase Letter	14010	6.9%

Value	Count	Frequency (%)
Lowercase Letter	168111	84.2%
Dash Punctuation	17512	8.8%
Uppercase Letter	14000	7.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	30527	18.0%
r	29490	17.4%
i	19978	11.8%
d	14426	8.5%
s	13360	7.9%
v	12958	7.6%
a	12305	7.2%
o	8900	5.2%
c	8297	4.9%
p	7033	4.1%
Other values (6)	12636	7.4%

Value	Count	Frequency (%)
e	30558	18.2%
r	29784	17.7%
i	19883	11.8%
d	14367	8.5%
v	13226	7.9%
s	12598	7.5%
a	12012	7.1%
o	8681	5.2%
c	8294	4.9%
p	6677	4.0%
Other values (6)	12031	7.2%

Dash Punctuation

Value	Count	Frequency (%)
-	17849	100.0%

Value	Count	Frequency (%)
-	17512	100.0%

Uppercase Letter

Value	Count	Frequency (%)
M	6594	47.1%
N	4661	33.3%
D	1880	13.4%
S	439	3.1%
W	426	3.0%
A	5	< 0.1%
F	5	< 0.1%

Value	Count	Frequency (%)
M	6288	44.9%
N	4932	35.2%
D	2023	14.4%
S	387	2.8%
W	368	2.6%
A	1	< 0.1%
F	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	183920	91.2%
Common	17849	8.8%

Value	Count	Frequency (%)
Latin	182111	91.2%
Common	17512	8.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	30527	16.6%
r	29490	16.0%
i	19978	10.9%
d	14426	7.8%
s	13360	7.3%
v	12958	7.0%
a	12305	6.7%
o	8900	4.8%
c	8297	4.5%
p	7033	3.8%
Other values (13)	26646	14.5%

Value	Count	Frequency (%)
e	30558	16.8%
r	29784	16.4%
i	19883	10.9%
d	14367	7.9%
v	13226	7.3%
s	12598	6.9%
a	12012	6.6%
o	8681	4.8%
c	8294	4.6%
p	6677	3.7%
Other values (13)	26031	14.3%

Common

Value	Count	Frequency (%)
-	17849	100.0%

Value	Count	Frequency (%)
-	17512	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	201769	100.0%

Value	Count	Frequency (%)
ASCII	199623	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	30527	15.1%
r	29490	14.6%
i	19978	9.9%
-	17849	8.8%
d	14426	7.1%
s	13360	6.6%
v	12958	6.4%
a	12305	6.1%
o	8900	4.4%
c	8297	4.1%
Other values (14)	33679	16.7%

Value	Count	Frequency (%)
e	30558	15.3%
r	29784	14.9%
i	19883	10.0%
-	17512	8.8%
d	14367	7.2%
v	13226	6.6%
s	12598	6.3%
a	12012	6.0%
o	8681	4.3%
c	8294	4.2%
Other values (14)	32708	16.4%

occupation
Categorical

	Original Data	Synthetic Data
Distinct	15	19
Distinct (%)	0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

Craft-repair	1766
Exec-managerial	1753
Prof-specialty	1749
Adm-clerical	1620
Sales	1575
Other values (10)	5537

Adm-clerical	2310
Craft-repair	2161
Prof-specialty	1780
Exec-managerial	1598
Other-service	1277
Other values (14)	4874

Length

	Original Data	Synthetic Data
Max length	17	17
Median length	15	15
Mean length	12.188	12.230929
Min length	1	1

Characters and Unicode

	Original Data	Synthetic Data
Total characters	170632	171233
Distinct characters	32	32
Distinct categories	4	4 ?
Distinct scripts	2	2 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Data	Synthetic Data
Unique	0	4 ?
Unique (%)	0.0%	< 0.1%

Sample

	Original Data	Synthetic Data
1st row	?	?
2nd row	Sales	?
3rd row	Craft-repair	?
4th row	Sales	Sales
5th row	?	?

Common Values

Value	Count	Frequency (%)
Craft-repair	1766	12.6%
Exec-managerial	1753	12.5%
Prof-specialty	1749	12.5%
Adm-clerical	1620	11.6%
Sales	1575	11.2%
Other-service	1416	10.1%
Machine-op-inspct	875	6.2%
?	810	5.8%
Transport-moving	694	5.0%
Handlers-cleaners	580	4.1%
Other values (5)	1162	8.3%

Value	Count	Frequency (%)
Adm-clerical	2310	16.5%
Craft-repair	2161	15.4%
Prof-specialty	1780	12.7%
Exec-managerial	1598	11.4%
Other-service	1277	9.1%
Sales	1244	8.9%
Transport-moving	884	6.3%
?	765	5.5%
Machine-op-inspct	602	4.3%
Handlers-cleaners	473	3.4%
Other values (9)	906	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Synthetic Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
craft-repair	1766	12.6%
exec-managerial	1753	12.5%
prof-specialty	1749	12.5%
adm-clerical	1620	11.6%
sales	1575	11.2%
other-service	1416	10.1%
machine-op-inspct	875	6.2%
	810	5.8%
transport-moving	694	5.0%
handlers-cleaners	580	4.1%
Other values (5)	1162	8.3%

Value	Count	Frequency (%)
adm-clerical	2310	16.5%
craft-repair	2161	15.4%
prof-specialty	1780	12.7%
exec-managerial	1598	11.4%
other-service	1277	9.1%
sales	1244	8.9%
transport-moving	884	6.3%
	765	5.5%
machine-op-inspct	602	4.3%
handlers-cleaners	473	3.4%
Other values (9)	906	6.5%

Most occurring characters

Value	Count	Frequency (%)
e	18492	10.8%
r	17334	10.2%
a	16877	9.9%
-	12566	7.4%
i	12355	7.2%
c	11161	6.5%
l	9477	5.6%
s	8707	5.1%
t	7461	4.4%
n	6877	4.0%
Other values (22)	49325	28.9%

Value	Count	Frequency (%)
r	18533	10.8%
e	17354	10.1%
a	17294	10.1%
-	12684	7.4%
i	12654	7.4%
c	11363	6.6%
l	10190	6.0%
s	7722	4.5%
t	7230	4.2%
p	6617	3.9%
Other values (22)	49592	29.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	144062	84.4%
Uppercase Letter	13194	7.7%
Dash Punctuation	12566	7.4%
Other Punctuation	810	0.5%

Value	Count	Frequency (%)
Lowercase Letter	144550	84.4%
Uppercase Letter	13234	7.7%
Dash Punctuation	12684	7.4%
Other Punctuation	765	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	18492	12.8%
r	17334	12.0%
a	16877	11.7%
i	12355	8.6%
c	11161	7.7%
l	9477	6.6%
s	8707	6.0%
t	7461	5.2%
n	6877	4.8%
p	6713	4.7%
Other values (10)	28608	19.9%

Value	Count	Frequency (%)
r	18533	12.8%
e	17354	12.0%
a	17294	12.0%
i	12654	8.8%
c	11363	7.9%
l	10190	7.0%
s	7722	5.3%
t	7230	5.0%
p	6617	4.6%
n	6345	4.4%
Other values (10)	29248	20.2%

Dash Punctuation

Value	Count	Frequency (%)
-	12566	100.0%

Value	Count	Frequency (%)
-	12684	100.0%

Uppercase Letter

Value	Count	Frequency (%)
P	2117	16.0%
C	1766	13.4%
E	1753	13.3%
A	1624	12.3%
S	1575	11.9%
O	1416	10.7%
T	1071	8.1%
M	875	6.6%
H	580	4.4%
F	417	3.2%

Value	Count	Frequency (%)
A	2310	17.5%
C	2161	16.3%
P	1979	15.0%
E	1599	12.1%
O	1277	9.6%
S	1244	9.4%
T	1179	8.9%
M	602	4.5%
H	473	3.6%
F	410	3.1%

Other Punctuation

Value	Count	Frequency (%)
?	810	100.0%

Value	Count	Frequency (%)
?	765	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	157256	92.2%
Common	13376	7.8%

Value	Count	Frequency (%)
Latin	157784	92.1%
Common	13449	7.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	18492	11.8%
r	17334	11.0%
a	16877	10.7%
i	12355	7.9%
c	11161	7.1%
l	9477	6.0%
s	8707	5.5%
t	7461	4.7%
n	6877	4.4%
p	6713	4.3%
Other values (20)	41802	26.6%

Value	Count	Frequency (%)
r	18533	11.7%
e	17354	11.0%
a	17294	11.0%
i	12654	8.0%
c	11363	7.2%
l	10190	6.5%
s	7722	4.9%
t	7230	4.6%
p	6617	4.2%
n	6345	4.0%
Other values (20)	42482	26.9%

Common

Value	Count	Frequency (%)
-	12566	93.9%
?	810	6.1%

Value	Count	Frequency (%)
-	12684	94.3%
?	765	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	170632	100.0%

Value	Count	Frequency (%)
ASCII	171233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	18492	10.8%
r	17334	10.2%
a	16877	9.9%
-	12566	7.4%
i	12355	7.2%
c	11161	6.5%
l	9477	5.6%
s	8707	5.1%
t	7461	4.4%
n	6877	4.0%
Other values (22)	49325	28.9%

Value	Count	Frequency (%)
r	18533	10.8%
e	17354	10.1%
a	17294	10.1%
-	12684	7.4%
i	12654	7.4%
c	11363	6.6%
l	10190	6.0%
s	7722	4.5%
t	7230	4.2%
p	6617	3.9%
Other values (22)	49592	29.0%

relationship
Categorical

	Original Data	Synthetic Data
Distinct	6	8
Distinct (%)	< 0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

Husband	5627
Not-in-family	3579
Own-child	2253
Unmarried	1433
Wife	689

Husband	5396
Not-in-family	3646
Own-child	2710
Unmarried	1168
Wife	776
Other values (3)	304

Length

	Original Data	Synthetic Data
Max length	14	14
Median length	13	13
Mean length	9.1222857	9.1011429
Min length	4	2

Characters and Unicode

	Original Data	Synthetic Data
Total characters	127712	127416
Distinct characters	25	25
Distinct categories	3	3 ?
Distinct scripts	2	2 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Data	Synthetic Data
Unique	0	2 ?
Unique (%)	0.0%	< 0.1%

Sample

	Original Data	Synthetic Data
1st row	Unmarried	Husband
2nd row	Not-in-family	Husband
3rd row	Not-in-family	Husband
4th row	Not-in-family	Husband
5th row	Unmarried	Own-child

Common Values

Value	Count	Frequency (%)
Husband	5627	40.2%
Not-in-family	3579	25.6%
Own-child	2253	16.1%
Unmarried	1433	10.2%
Wife	689	4.9%
Other-relative	419	3.0%

Value	Count	Frequency (%)
Husband	5396	38.5%
Not-in-family	3646	26.0%
Own-child	2710	19.4%
Unmarried	1168	8.3%
Wife	776	5.5%
Other-relative	302	2.2%
ld	1	< 0.1%
Ownmarried	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Data

Synthetic Data

Value	Count	Frequency (%)
husband	5627	40.2%
not-in-family	3579	25.6%
own-child	2253	16.1%
unmarried	1433	10.2%
wife	689	4.9%
other-relative	419	3.0%

Value	Count	Frequency (%)
husband	5396	38.5%
not-in-family	3646	26.0%
own-child	2710	19.4%
unmarried	1168	8.3%
wife	776	5.5%
other-relative	302	2.2%
ld	1	< 0.1%
ownmarried	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
n	12892	10.1%
i	11952	9.4%
a	11058	8.7%
-	9830	7.7%
d	9313	7.3%
l	6251	4.9%
H	5627	4.4%
u	5627	4.4%
s	5627	4.4%
b	5627	4.4%
Other values (15)	43908	34.4%

Value	Count	Frequency (%)
n	12921	10.1%
i	12249	9.6%
a	10513	8.3%
-	10304	8.1%
d	9276	7.3%
l	6659	5.2%
H	5396	4.2%
s	5396	4.2%
b	5396	4.2%
u	5396	4.2%
Other values (15)	43910	34.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	103882	81.3%
Uppercase Letter	14000	11.0%
Dash Punctuation	9830	7.7%

Value	Count	Frequency (%)
Lowercase Letter	103113	80.9%
Uppercase Letter	13999	11.0%
Dash Punctuation	10304	8.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	12892	12.4%
i	11952	11.5%
a	11058	10.6%
d	9313	9.0%
l	6251	6.0%
u	5627	5.4%
s	5627	5.4%
b	5627	5.4%
m	5012	4.8%
t	4417	4.3%
Other values (9)	26106	25.1%

Value	Count	Frequency (%)
n	12921	12.5%
i	12249	11.9%
a	10513	10.2%
d	9276	9.0%
l	6659	6.5%
s	5396	5.2%
b	5396	5.2%
u	5396	5.2%
m	4815	4.7%
f	4422	4.3%
Other values (9)	26070	25.3%

Dash Punctuation

Value	Count	Frequency (%)
-	9830	100.0%

Value	Count	Frequency (%)
-	10304	100.0%

Uppercase Letter

Value	Count	Frequency (%)
H	5627	40.2%
N	3579	25.6%
O	2672	19.1%
U	1433	10.2%
W	689	4.9%

Value	Count	Frequency (%)
H	5396	38.5%
N	3646	26.0%
O	3013	21.5%
U	1168	8.3%
W	776	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	117882	92.3%
Common	9830	7.7%

Value	Count	Frequency (%)
Latin	117112	91.9%
Common	10304	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	12892	10.9%
i	11952	10.1%
a	11058	9.4%
d	9313	7.9%
l	6251	5.3%
H	5627	4.8%
u	5627	4.8%
s	5627	4.8%
b	5627	4.8%
m	5012	4.3%
Other values (14)	38896	33.0%

Value	Count	Frequency (%)
n	12921	11.0%
i	12249	10.5%
a	10513	9.0%
d	9276	7.9%
l	6659	5.7%
H	5396	4.6%
s	5396	4.6%
b	5396	4.6%
u	5396	4.6%
m	4815	4.1%
Other values (14)	39095	33.4%

Common

Value	Count	Frequency (%)
-	9830	100.0%

Value	Count	Frequency (%)
-	10304	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127712	100.0%

Value	Count	Frequency (%)
ASCII	127416	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	12892	10.1%
i	11952	9.4%
a	11058	8.7%
-	9830	7.7%
d	9313	7.3%
l	6251	4.9%
H	5627	4.4%
u	5627	4.4%
s	5627	4.4%
b	5627	4.4%
Other values (15)	43908	34.4%

Value	Count	Frequency (%)
n	12921	10.1%
i	12249	9.6%
a	10513	8.3%
-	10304	8.1%
d	9276	7.3%
l	6659	5.2%
H	5396	4.2%
s	5396	4.2%
b	5396	4.2%
u	5396	4.2%
Other values (15)	43910	34.5%

race
Categorical

	Original Data	Synthetic Data
Distinct	5	5
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

White	11935
Black	1356
Asian-Pac-Islander	463
Amer-Indian-Eskimo	132
Other	114

White	12736
Black	738
Asian-Pac-Islander	330
Amer-Indian-Eskimo	113
Other	83

Length

	Original Data	Synthetic Data
Max length	18	18
Median length	5	5
Mean length	5.5525	5.4113571
Min length	5	5

Characters and Unicode

	Original Data	Synthetic Data
Total characters	77735	75759
Distinct characters	22	22
Distinct categories	3	3 ?
Distinct scripts	2	2 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Data	Synthetic Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Original Data	Synthetic Data
1st row	White	White
2nd row	White	White
3rd row	White	White
4th row	White	White
5th row	White	White

Common Values

Value	Count	Frequency (%)
White	11935	85.2%
Black	1356	9.7%
Asian-Pac-Islander	463	3.3%
Amer-Indian-Eskimo	132	0.9%
Other	114	0.8%

Value	Count	Frequency (%)
White	12736	91.0%
Black	738	5.3%
Asian-Pac-Islander	330	2.4%
Amer-Indian-Eskimo	113	0.8%
Other	83	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Data

Synthetic Data

Value	Count	Frequency (%)
white	11935	85.2%
black	1356	9.7%
asian-pac-islander	463	3.3%
amer-indian-eskimo	132	0.9%
other	114	0.8%

Value	Count	Frequency (%)
white	12736	91.0%
black	738	5.3%
asian-pac-islander	330	2.4%
amer-indian-eskimo	113	0.8%
other	83	0.6%

Most occurring characters

Value	Count	Frequency (%)
i	12662	16.3%
e	12644	16.3%
t	12049	15.5%
h	12049	15.5%
W	11935	15.4%
a	2877	3.7%
l	1819	2.3%
c	1819	2.3%
k	1488	1.9%
B	1356	1.7%
Other values (12)	7037	9.1%

Value	Count	Frequency (%)
i	13292	17.5%
e	13262	17.5%
h	12819	16.9%
t	12819	16.9%
W	12736	16.8%
a	1841	2.4%
l	1068	1.4%
c	1068	1.4%
-	886	1.2%
n	886	1.2%
Other values (12)	5082	6.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	61355	78.9%
Uppercase Letter	15190	19.5%
Dash Punctuation	1190	1.5%

Value	Count	Frequency (%)
Lowercase Letter	59987	79.2%
Uppercase Letter	14886	19.6%
Dash Punctuation	886	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	12662	20.6%
e	12644	20.6%
t	12049	19.6%
h	12049	19.6%
a	2877	4.7%
l	1819	3.0%
c	1819	3.0%
k	1488	2.4%
n	1190	1.9%
s	1058	1.7%
Other values (4)	1700	2.8%

Value	Count	Frequency (%)
i	13292	22.2%
e	13262	22.1%
h	12819	21.4%
t	12819	21.4%
a	1841	3.1%
l	1068	1.8%
c	1068	1.8%
n	886	1.5%
k	851	1.4%
s	773	1.3%
Other values (4)	1308	2.2%

Uppercase Letter

Value	Count	Frequency (%)
W	11935	78.6%
B	1356	8.9%
A	595	3.9%
I	595	3.9%
P	463	3.0%
E	132	0.9%
O	114	0.8%

Value	Count	Frequency (%)
W	12736	85.6%
B	738	5.0%
A	443	3.0%
I	443	3.0%
P	330	2.2%
E	113	0.8%
O	83	0.6%

Dash Punctuation

Value	Count	Frequency (%)
-	1190	100.0%

Value	Count	Frequency (%)
-	886	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	76545	98.5%
Common	1190	1.5%

Value	Count	Frequency (%)
Latin	74873	98.8%
Common	886	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	12662	16.5%
e	12644	16.5%
t	12049	15.7%
h	12049	15.7%
W	11935	15.6%
a	2877	3.8%
l	1819	2.4%
c	1819	2.4%
k	1488	1.9%
B	1356	1.8%
Other values (11)	5847	7.6%

Value	Count	Frequency (%)
i	13292	17.8%
e	13262	17.7%
h	12819	17.1%
t	12819	17.1%
W	12736	17.0%
a	1841	2.5%
l	1068	1.4%
c	1068	1.4%
n	886	1.2%
k	851	1.1%
Other values (11)	4231	5.7%

Common

Value	Count	Frequency (%)
-	1190	100.0%

Value	Count	Frequency (%)
-	886	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77735	100.0%

Value	Count	Frequency (%)
ASCII	75759	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	12662	16.3%
e	12644	16.3%
t	12049	15.5%
h	12049	15.5%
W	11935	15.4%
a	2877	3.7%
l	1819	2.3%
c	1819	2.3%
k	1488	1.9%
B	1356	1.7%
Other values (12)	7037	9.1%

Value	Count	Frequency (%)
i	13292	17.5%
e	13262	17.5%
h	12819	16.9%
t	12819	16.9%
W	12736	16.8%
a	1841	2.4%
l	1068	1.4%
c	1068	1.4%
-	886	1.2%
n	886	1.2%
Other values (12)	5082	6.7%

gender
Categorical

	Original Data	Synthetic Data
Distinct	2	2
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

Male	9372
Female	4628

Male	9053
Female	4947

Length

	Original Data	Synthetic Data
Max length	6	6
Median length	4	4
Mean length	4.6611429	4.7067143
Min length	4	4

Characters and Unicode

	Original Data	Synthetic Data
Total characters	65256	65894
Distinct characters	6	6
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Data	Synthetic Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Original Data	Synthetic Data
1st row	Male	Male
2nd row	Male	Male
3rd row	Male	Male
4th row	Male	Male
5th row	Male	Male

Common Values

Value	Count	Frequency (%)
Male	9372	66.9%
Female	4628	33.1%

Value	Count	Frequency (%)
Male	9053	64.7%
Female	4947	35.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Data

Synthetic Data

Value	Count	Frequency (%)
male	9372	66.9%
female	4628	33.1%

Value	Count	Frequency (%)
male	9053	64.7%
female	4947	35.3%

Most occurring characters

Value	Count	Frequency (%)
e	18628	28.5%
a	14000	21.5%
l	14000	21.5%
M	9372	14.4%
F	4628	7.1%
m	4628	7.1%

Value	Count	Frequency (%)
e	18947	28.8%
a	14000	21.2%
l	14000	21.2%
M	9053	13.7%
F	4947	7.5%
m	4947	7.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	51256	78.5%
Uppercase Letter	14000	21.5%

Value	Count	Frequency (%)
Lowercase Letter	51894	78.8%
Uppercase Letter	14000	21.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	18628	36.3%
a	14000	27.3%
l	14000	27.3%
m	4628	9.0%

Value	Count	Frequency (%)
e	18947	36.5%
a	14000	27.0%
l	14000	27.0%
m	4947	9.5%

Uppercase Letter

Value	Count	Frequency (%)
M	9372	66.9%
F	4628	33.1%

Value	Count	Frequency (%)
M	9053	64.7%
F	4947	35.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	65256	100.0%

Value	Count	Frequency (%)
Latin	65894	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	18628	28.5%
a	14000	21.5%
l	14000	21.5%
M	9372	14.4%
F	4628	7.1%
m	4628	7.1%

Value	Count	Frequency (%)
e	18947	28.8%
a	14000	21.2%
l	14000	21.2%
M	9053	13.7%
F	4947	7.5%
m	4947	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65256	100.0%

Value	Count	Frequency (%)
ASCII	65894	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	18628	28.5%
a	14000	21.5%
l	14000	21.5%
M	9372	14.4%
F	4628	7.1%
m	4628	7.1%

Value	Count	Frequency (%)
e	18947	28.8%
a	14000	21.2%
l	14000	21.2%
M	9053	13.7%
F	4947	7.5%
m	4947	7.5%

capital_gain
Categorical

	Original Data	Synthetic Data
Distinct	109	108
Distinct (%)	0.8%	0.8%
Missing	0	2
Missing (%)	0.0%	< 0.1%
Memory size	109.5 KiB	109.5 KiB

0	12811
15024	161
7688	127
7298	108
99999	76
Other values (104)	717

0	13079
7298	231
15024	137
7688	112
5178	41
Other values (103)	398

Length

Max length	6
Median length	1
Mean length	1.210673
Min length	1

Characters and Unicode

Total characters	16947
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Data	Synthetic Data
Unique	19	51 ?
Unique (%)	0.1%	0.4%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	12811	91.5%
15024	161	1.1%
7688	127	0.9%
7298	108	0.8%
99999	76	0.5%
3103	46	0.3%
5178	43	0.3%
5013	33	0.2%
4386	29	0.2%
2174	27	0.2%
Other values (99)	539	3.9%

Value	Count	Frequency (%)
0	13079	93.4%
7298	231	1.7%
15024	137	1.0%
7688	112	0.8%
5178	41	0.3%
4650	33	0.2%
99999	29	0.2%
4386	28	0.2%
5013	24	0.2%
3103	17	0.1%
Other values (98)	267	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Synthetic Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
0	13080	93.4%
7298	231	1.7%
15024	137	1.0%
7688	112	0.8%
5178	41	0.3%
4650	33	0.2%
99999	29	0.2%
4386	28	0.2%
5013	24	0.2%
3103	17	0.1%
Other values (98)	267	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	13397	79.1%
8	634	3.7%
7	474	2.8%
2	474	2.8%
9	429	2.5%
1	404	2.4%
4	368	2.2%
5	322	1.9%
6	260	1.5%
3	184	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16946	> 99.9%
Space Separator	1	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13397	79.1%
8	634	3.7%
7	474	2.8%
2	474	2.8%
9	429	2.5%
1	404	2.4%
4	368	2.2%
5	322	1.9%
6	260	1.5%
3	184	1.1%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	16947	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13397	79.1%
8	634	3.7%
7	474	2.8%
2	474	2.8%
9	429	2.5%
1	404	2.4%
4	368	2.2%
5	322	1.9%
6	260	1.5%
3	184	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16947	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	13397	79.1%
8	634	3.7%
7	474	2.8%
2	474	2.8%
9	429	2.5%
1	404	2.4%
4	368	2.2%
5	322	1.9%
6	260	1.5%
3	184	1.1%

capital_loss
Real number (ℝ)

	Original Data	Synthetic Data
Distinct	76	55
Distinct (%)	0.5%	0.4%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	84.930214	46.901357

	Original Data	Synthetic Data
Minimum	0	0
Maximum	3900	25485
Zeros	13354	13659
Zeros (%)	95.4%	97.6%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

Quantile statistics

	Original Data	Synthetic Data
Minimum	0	0
5-th percentile	0	0
Q1	0	0
median	0	0
Q3	0	0
95-th percentile	0	0
Maximum	3900	25485
Range	3900	25485
Interquartile range (IQR)	0	0

Descriptive statistics

	Original Data	Synthetic Data
Standard deviation	394.66496	387.47855
Coefficient of variation (CV)	4.6469324	8.2615637
Kurtosis	20.340582	1676.9944
Mean	84.930214	46.901357
Median Absolute Deviation (MAD)	0	0
Skewness	4.615084	30.0347
Sum	1189023	656619
Variance	155760.43	150139.63
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	13354	95.4%
1902	82	0.6%
1887	66	0.5%
1977	61	0.4%
1485	26	0.2%
1590	23	0.2%
1740	22	0.2%
2415	22	0.2%
1602	21	0.1%
1876	20	0.1%
Other values (66)	303	2.2%

Value	Count	Frequency (%)
0	13659	97.6%
1902	64	0.5%
1977	57	0.4%
1485	24	0.2%
1672	23	0.2%
1887	22	0.2%
1876	17	0.1%
2377	11	0.1%
1590	11	0.1%
2002	9	0.1%
Other values (45)	103	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13354	95.4%
213	1	< 0.1%
323	2	< 0.1%
419	2	< 0.1%
625	9	0.1%
653	1	< 0.1%
810	2	< 0.1%
880	3	< 0.1%
974	1	< 0.1%
1092	4	< 0.1%

Value	Count	Frequency (%)
0	13659	97.6%
2	1	< 0.1%
176	1	< 0.1%
180	1	< 0.1%
200	1	< 0.1%
204	1	< 0.1%
625	4	< 0.1%
810	2	< 0.1%
880	1	< 0.1%
1051	1	< 0.1%

Value	Count	Frequency (%)
0	13659	97.6%
2	1	< 0.1%
176	1	< 0.1%
180	1	< 0.1%
200	1	< 0.1%
204	1	< 0.1%
625	4	< 0.1%
810	2	< 0.1%
880	1	< 0.1%
1051	1	< 0.1%

Value	Count	Frequency (%)
0	13354	95.4%
213	1	< 0.1%
323	2	< 0.1%
419	2	< 0.1%
625	9	0.1%
653	1	< 0.1%
810	2	< 0.1%
880	3	< 0.1%
974	1	< 0.1%
1092	4	< 0.1%

hours_per_week
Real number (ℝ)

	Original Data	Synthetic Data
Distinct	90	82
Distinct (%)	0.6%	0.6%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	40.240929	39.731357

	Original Data	Synthetic Data
Minimum	1	1
Maximum	99	762
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

Quantile statistics

	Original Data	Synthetic Data
Minimum	1	1
5-th percentile	16	16
Q1	40	40
median	40	40
Q3	45	43
95-th percentile	60	60
Maximum	99	762
Range	98	761
Interquartile range (IQR)	5	3

Descriptive statistics

	Original Data	Synthetic Data
Standard deviation	12.368062	15.4285
Coefficient of variation (CV)	0.30735031	0.38832049
Kurtosis	2.9757174	767.0054
Mean	40.240929	39.731357
Median Absolute Deviation (MAD)	4	1.5
Skewness	0.23608827	17.54265
Sum	563373	556239
Variance	152.96895	238.03862
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	6534	46.7%
50	1173	8.4%
45	794	5.7%
60	615	4.4%
35	563	4.0%
20	522	3.7%
30	519	3.7%
25	309	2.2%
55	283	2.0%
48	212	1.5%
Other values (80)	2476	17.7%

Value	Count	Frequency (%)
40	6976	49.8%
50	1136	8.1%
45	683	4.9%
20	603	4.3%
30	588	4.2%
60	525	3.8%
35	454	3.2%
25	285	2.0%
55	219	1.6%
15	213	1.5%
Other values (72)	2318	16.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	10	0.1%
2	16	0.1%
3	21	0.1%
4	22	0.2%
5	24	0.2%
6	28	0.2%
7	11	0.1%
8	62	0.4%
9	5	< 0.1%
10	124	0.9%

Value	Count	Frequency (%)
1	10	0.1%
2	12	0.1%
3	13	0.1%
4	3	< 0.1%
5	6	< 0.1%
6	37	0.3%
7	3	< 0.1%
8	75	0.5%
10	184	1.3%
11	5	< 0.1%

Value	Count	Frequency (%)
1	10	0.1%
2	12	0.1%
3	13	0.1%
4	3	< 0.1%
5	6	< 0.1%
6	37	0.3%
7	3	< 0.1%
8	75	0.5%
10	184	1.3%
11	5	< 0.1%

Value	Count	Frequency (%)
1	10	0.1%
2	16	0.1%
3	21	0.1%
4	22	0.2%
5	24	0.2%
6	28	0.2%
7	11	0.1%
8	62	0.4%
9	5	< 0.1%
10	124	0.9%

native_country
Categorical

	Original Data	Synthetic Data
Distinct	42	48
Distinct (%)	0.3%	0.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

United-States	12532
Mexico	274
?	269
Philippines	86
Germany	71
Other values (37)	768

United-States	12684
Mexico	304
?	199
El-Salvador	85
Germany	68
Other values (43)	660

Length

	Original Data	Synthetic Data
Max length	26	26
Median length	13	13
Mean length	12.276857	12.372929
Min length	1	1

Characters and Unicode

	Original Data	Synthetic Data
Total characters	171876	173221
Distinct characters	45	45
Distinct categories	6	6 ?
Distinct scripts	2	2 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Data	Synthetic Data
Unique	1	9 ?
Unique (%)	< 0.1%	0.1%

Sample

	Original Data	Synthetic Data
1st row	United-States	Taiwan
2nd row	United-States	Japan
3rd row	United-States	South
4th row	United-States	Italy
5th row	United-States	Mexico

Common Values

Value	Count	Frequency (%)
United-States	12532	89.5%
Mexico	274	2.0%
?	269	1.9%
Philippines	86	0.6%
Germany	71	0.5%
Canada	56	0.4%
El-Salvador	48	0.3%
India	44	0.3%
Puerto-Rico	42	0.3%
England	40	0.3%
Other values (32)	538	3.8%

Value	Count	Frequency (%)
United-States	12684	90.6%
Mexico	304	2.2%
?	199	1.4%
El-Salvador	85	0.6%
Germany	68	0.5%
Italy	65	0.5%
China	64	0.5%
Canada	61	0.4%
Columbia	45	0.3%
Vietnam	41	0.3%
Other values (38)	384	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Synthetic Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
united-states	12532	89.5%
mexico	274	2.0%
	269	1.9%
philippines	86	0.6%
germany	71	0.5%
canada	56	0.4%
el-salvador	48	0.3%
india	44	0.3%
puerto-rico	42	0.3%
england	40	0.3%
Other values (32)	538	3.8%

Value	Count	Frequency (%)
united-states	12684	90.6%
mexico	304	2.2%
	199	1.4%
el-salvador	85	0.6%
germany	68	0.5%
italy	65	0.5%
china	64	0.5%
canada	61	0.4%
columbia	45	0.3%
vietnam	41	0.3%
Other values (38)	384	2.7%

Most occurring characters

Value	Count	Frequency (%)
t	37803	22.0%
e	25720	15.0%
a	13639	7.9%
i	13446	7.8%
n	13141	7.6%
d	12814	7.5%
-	12663	7.4%
s	12641	7.4%
S	12626	7.3%
U	12540	7.3%
Other values (35)	4843	2.8%

Value	Count	Frequency (%)
t	38309	22.1%
e	25968	15.0%
a	13777	8.0%
i	13484	7.8%
n	13181	7.6%
d	12919	7.5%
-	12843	7.4%
S	12811	7.4%
s	12749	7.4%
U	12694	7.3%
Other values (35)	4486	2.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	132510	77.1%
Uppercase Letter	26418	15.4%
Dash Punctuation	12663	7.4%
Other Punctuation	277	0.2%
Open Punctuation	4	< 0.1%
Close Punctuation	4	< 0.1%

Value	Count	Frequency (%)
Lowercase Letter	133526	77.1%
Uppercase Letter	26649	15.4%
Dash Punctuation	12843	7.4%
Other Punctuation	201	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	37803	28.5%
e	25720	19.4%
a	13639	10.3%
i	13446	10.1%
n	13141	9.9%
d	12814	9.7%
s	12641	9.5%
o	606	0.5%
c	469	0.4%
l	407	0.3%
Other values (11)	1824	1.4%

Value	Count	Frequency (%)
t	38309	28.7%
e	25968	19.4%
a	13777	10.3%
i	13484	10.1%
n	13181	9.9%
d	12919	9.7%
s	12749	9.5%
o	594	0.4%
l	448	0.3%
c	447	0.3%
Other values (11)	1650	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	12663	100.0%

Value	Count	Frequency (%)
-	12843	100.0%

Uppercase Letter

Value	Count	Frequency (%)
S	12626	47.8%
U	12540	47.5%
M	274	1.0%
P	182	0.7%
C	156	0.6%
G	121	0.5%
I	108	0.4%
E	101	0.4%
R	70	0.3%
J	57	0.2%
Other values (9)	183	0.7%

Value	Count	Frequency (%)
S	12811	48.1%
U	12694	47.6%
M	304	1.1%
C	195	0.7%
E	118	0.4%
G	102	0.4%
I	82	0.3%
P	80	0.3%
R	56	0.2%
V	42	0.2%
Other values (9)	165	0.6%

Other Punctuation

Value	Count	Frequency (%)
?	269	97.1%
&	8	2.9%

Value	Count	Frequency (%)
?	199	99.0%
&	2	1.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	158928	92.5%
Common	12948	7.5%

Value	Count	Frequency (%)
Latin	160175	92.5%
Common	13046	7.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	37803	23.8%
e	25720	16.2%
a	13639	8.6%
i	13446	8.5%
n	13141	8.3%
d	12814	8.1%
s	12641	8.0%
S	12626	7.9%
U	12540	7.9%
o	606	0.4%
Other values (30)	3952	2.5%

Value	Count	Frequency (%)
t	38309	23.9%
e	25968	16.2%
a	13777	8.6%
i	13484	8.4%
n	13181	8.2%
d	12919	8.1%
S	12811	8.0%
s	12749	8.0%
U	12694	7.9%
o	594	0.4%
Other values (30)	3689	2.3%

Common

Value	Count	Frequency (%)
-	12663	97.8%
?	269	2.1%
&	8	0.1%
(	4	< 0.1%
)	4	< 0.1%

Value	Count	Frequency (%)
-	12843	98.4%
?	199	1.5%
&	2	< 0.1%
(	1	< 0.1%
)	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	171876	100.0%

Value	Count	Frequency (%)
ASCII	173221	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	37803	22.0%
e	25720	15.0%
a	13639	7.9%
i	13446	7.8%
n	13141	7.6%
d	12814	7.5%
-	12663	7.4%
s	12641	7.4%
S	12626	7.3%
U	12540	7.3%
Other values (35)	4843	2.8%

Value	Count	Frequency (%)
t	38309	22.1%
e	25968	15.0%
a	13777	8.0%
i	13484	7.8%
n	13181	7.6%
d	12919	7.5%
-	12843	7.4%
S	12811	7.4%
s	12749	7.4%
U	12694	7.3%
Other values (35)	4486	2.6%

income_bracket
Categorical

	Original Data	Synthetic Data
Distinct	2	2
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	109.5 KiB	109.5 KiB

<=50K	10660
>50K	3340

<=50K	11477
>50K	2523

Length

	Original Data	Synthetic Data
Max length	5	5
Median length	5	5
Mean length	4.7614286	4.8197857
Min length	4	4

Characters and Unicode

	Original Data	Synthetic Data
Total characters	66660	67477
Distinct characters	6	6
Distinct categories	3	3 ?
Distinct scripts	2	2 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Data	Synthetic Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Original Data	Synthetic Data
1st row	<=50K	>50K
2nd row	>50K	<=50K
3rd row	<=50K	<=50K
4th row	<=50K	<=50K
5th row	<=50K	<=50K

Common Values

Value	Count	Frequency (%)
<=50K	10660	76.1%
>50K	3340	23.9%

Value	Count	Frequency (%)
<=50K	11477	82.0%
>50K	2523	18.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Data

Synthetic Data

Value	Count	Frequency (%)
50k	14000	100.0%

Value	Count	Frequency (%)
50k	14000	100.0%

Most occurring characters

Value	Count	Frequency (%)
5	14000	21.0%
0	14000	21.0%
K	14000	21.0%
<	10660	16.0%
=	10660	16.0%
>	3340	5.0%

Value	Count	Frequency (%)
5	14000	20.7%
0	14000	20.7%
K	14000	20.7%
<	11477	17.0%
=	11477	17.0%
>	2523	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28000	42.0%
Math Symbol	24660	37.0%
Uppercase Letter	14000	21.0%

Value	Count	Frequency (%)
Decimal Number	28000	41.5%
Math Symbol	25477	37.8%
Uppercase Letter	14000	20.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	14000	50.0%
0	14000	50.0%

Value	Count	Frequency (%)
5	14000	50.0%
0	14000	50.0%

Uppercase Letter

Value	Count	Frequency (%)
K	14000	100.0%

Value	Count	Frequency (%)
K	14000	100.0%

Math Symbol

Value	Count	Frequency (%)
<	10660	43.2%
=	10660	43.2%
>	3340	13.5%

Value	Count	Frequency (%)
<	11477	45.0%
=	11477	45.0%
>	2523	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	52660	79.0%
Latin	14000	21.0%

Value	Count	Frequency (%)
Common	53477	79.3%
Latin	14000	20.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	14000	26.6%
0	14000	26.6%
<	10660	20.2%
=	10660	20.2%
>	3340	6.3%

Value	Count	Frequency (%)
5	14000	26.2%
0	14000	26.2%
<	11477	21.5%
=	11477	21.5%
>	2523	4.7%

Latin

Value	Count	Frequency (%)
K	14000	100.0%

Value	Count	Frequency (%)
K	14000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66660	100.0%

Value	Count	Frequency (%)
ASCII	67477	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	14000	21.0%
0	14000	21.0%
K	14000	21.0%
<	10660	16.0%
=	10660	16.0%
>	3340	5.0%

Value	Count	Frequency (%)
5	14000	20.7%
0	14000	20.7%
K	14000	20.7%
<	11477	17.0%
=	11477	17.0%
>	2523	3.7%

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Interaction plot not present for dataset

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Interaction plot not present for dataset

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Interaction plot not present for dataset

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Interaction plot not present for dataset

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Interaction plot not present for dataset

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Interaction plot not present for dataset

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Interaction plot not present for dataset

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Interaction plot not present for dataset

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Interaction plot not present for dataset

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Auto

Heatmap
Table

Original Data

Synthetic Data

Original Data

	age	fnlwgt	education_num	capital_gain	capital_loss	hours_per_week	workclass	education	marital_status	occupation	relationship	race	gender	native_country	income_bracket
age	1.000	-0.081	0.061	0.132	0.052	0.152	0.124	0.119	0.281	0.123	0.279	0.022	0.128	0.032	0.321
fnlwgt	-0.081	1.000	-0.037	-0.016	-0.008	-0.033	0.018	0.019	0.016	0.010	0.021	0.072	0.041	0.045	0.001
education_num	0.061	-0.037	1.000	0.126	0.075	0.167	0.100	1.000	0.083	0.224	0.111	0.062	0.073	0.142	0.365
capital_gain	0.132	-0.016	0.126	1.000	-0.067	0.092	0.043	0.159	0.040	0.070	0.049	0.000	0.058	0.000	0.269
capital_loss	0.052	-0.008	0.075	-0.067	1.000	0.051	0.021	0.045	0.036	0.030	0.051	0.000	0.053	0.000	0.141
hours_per_week	0.152	-0.033	0.167	0.092	0.051	1.000	0.123	0.089	0.117	0.143	0.161	0.054	0.238	0.022	0.267
workclass	0.124	0.018	0.100	0.043	0.021	0.123	1.000	0.109	0.083	0.427	0.097	0.053	0.140	0.028	0.170
education	0.119	0.019	1.000	0.159	0.045	0.089	0.109	1.000	0.095	0.187	0.122	0.070	0.091	0.134	0.371
marital_status	0.281	0.016	0.083	0.040	0.036	0.117	0.083	0.095	1.000	0.132	0.489	0.083	0.452	0.063	0.449
occupation	0.123	0.010	0.224	0.070	0.030	0.143	0.427	0.187	0.132	1.000	0.179	0.076	0.423	0.062	0.350
relationship	0.279	0.021	0.111	0.049	0.051	0.161	0.097	0.122	0.489	0.179	1.000	0.099	0.648	0.079	0.455
race	0.022	0.072	0.062	0.000	0.000	0.054	0.053	0.070	0.083	0.076	0.099	1.000	0.107	0.389	0.102
gender	0.128	0.041	0.073	0.058	0.053	0.238	0.140	0.091	0.452	0.423	0.648	0.107	1.000	0.042	0.213
native_country	0.032	0.045	0.142	0.000	0.000	0.022	0.028	0.134	0.063	0.062	0.079	0.389	0.042	1.000	0.087
income_bracket	0.321	0.001	0.365	0.269	0.141	0.267	0.170	0.371	0.449	0.350	0.455	0.102	0.213	0.087	1.000

Synthetic Data

	age	fnlwgt	education_num	capital_loss	hours_per_week	workclass	education	marital_status	occupation	relationship	race	gender	native_country	income_bracket
age	1.000	-0.047	0.031	-0.009	0.004	0.122	0.119	0.000	0.000	0.007	0.000	0.000	0.000	0.005
fnlwgt	-0.047	1.000	-0.028	0.004	-0.007	0.006	0.000	0.000	0.015	0.000	0.000	0.000	0.000	0.000
education_num	0.031	-0.028	1.000	-0.031	-0.006	0.086	1.000	0.000	0.019	0.000	0.000	0.000	0.052	0.080
capital_loss	-0.009	0.004	-0.031	1.000	0.058	0.016	0.036	0.000	0.000	0.000	0.000	0.000	0.042	0.000
hours_per_week	0.004	-0.007	-0.006	0.058	1.000	0.026	0.000	0.000	0.000	0.044	0.000	0.022	0.000	0.020
workclass	0.122	0.006	0.086	0.016	0.026	1.000	0.095	0.000	0.018	0.015	0.014	0.000	0.025	0.076
education	0.119	0.000	1.000	0.036	0.000	0.095	1.000	0.008	0.013	0.012	0.015	0.000	0.048	0.116
marital_status	0.000	0.000	0.000	0.000	0.000	0.000	0.008	1.000	0.111	0.412	0.032	0.415	0.000	0.139
occupation	0.000	0.015	0.019	0.000	0.000	0.018	0.013	0.111	1.000	0.159	0.013	0.232	0.017	0.091
relationship	0.007	0.000	0.000	0.000	0.044	0.015	0.012	0.412	0.159	1.000	0.081	0.637	0.000	0.157
race	0.000	0.000	0.000	0.000	0.000	0.014	0.015	0.032	0.013	0.081	1.000	0.085	0.021	0.000
gender	0.000	0.000	0.000	0.000	0.022	0.000	0.000	0.415	0.232	0.637	0.085	1.000	0.035	0.061
native_country	0.000	0.000	0.052	0.042	0.000	0.025	0.048	0.000	0.017	0.000	0.021	0.035	1.000	0.086
income_bracket	0.005	0.000	0.080	0.000	0.020	0.076	0.116	0.139	0.091	0.157	0.000	0.061	0.086	1.000

Original Data

A simple visualization of nullity by column.

Synthetic Data

A simple visualization of nullity by column.

Original Data

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Synthetic Data

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

Original Data

	age	workclass	fnlwgt	education	education_num	marital_status	occupation	relationship	race	gender	capital_gain	hours_per_week	native_country	income_bracket
0	30	?	157289	11th	7	Never-married	?	Unmarried	White	Male	0	40	United-States	<=50K
1	33	Private	170769	Doctorate	16	Divorced	Sales	Not-in-family	White	Male	99999	60	United-States	>50K
2	37	Private	279029	Bachelors	13	Never-married	Craft-repair	Not-in-family	White	Male	0	40	United-States	<=50K
3	30	Private	255004	Assoc-acdm	12	Divorced	Sales	Not-in-family	White	Male	0	52	United-States	<=50K
4	24	?	144898	Some-college	10	Never-married	?	Unmarried	White	Male	0	40	United-States	<=50K
5	59	Private	61885	12th	8	Divorced	Transport-moving	Other-relative	Black	Male	0	35	United-States	<=50K
6	53	Private	96062	Bachelors	13	Married-civ-spouse	Exec-managerial	Husband	White	Male	0	40	Greece	<=50K
7	18	Private	208103	11th	7	Never-married	Other-service	Other-relative	White	Male	0	25	United-States	<=50K
8	30	Private	190823	Some-college	10	Never-married	Other-service	Own-child	Black	Female	0	40	United-States	<=50K
9	22	?	424494	Some-college	10	Never-married	?	Own-child	White	Male	0	25	United-States	<=50K

Synthetic Data

	age	workclass	fnlwgt	education	education_num	marital_status	occupation	relationship	race	gender	capital_loss	hours_per_week	native_country	income_bracket
0	18	?	97318.0	11th	7	Married-civ-spouse	?	Husband	White	Male	0	15	Taiwan	>50K
1	24	Private	227070.0	10th	6	Married-civ-spouse	?	Husband	White	Male	0	40	Japan	<=50K
2	51	Private	124187.0	9th	5	Married-civ-spouse	?	Husband	White	Male	0	30	South	<=50K
3	28	Private	128509.0	5th-6th	3	Married-civ-spouse	Sales	Husband	White	Male	2444	40	Italy	<=50K
4	48	Private	33155.0	HS-grad	9	Never-married	?	Own-child	White	Male	0	38	Mexico	<=50K
5	61	Private	119986.0	Masters	14	Divorced	Other-service	Unmarried	White	Female	0	30	Philippines	>50K
6	43	Private	456236.0	Masters	14	Married-civ-spouse	Other-service	Husband	White	Male	0	60	United-States	>50K
7	56	Private	104945.0	7th-8th	4	Divorced	Prof-specialty	Unmarried	Other	Female	0	60	United-States	>50K
8	23	Private	143582.0	HS-grad	9	Never-married	Sales	Own-child	White	Male	0	45	United-States	>50K
9	34	Private	405284.0	Bachelors	13	Married-civ-spouse	Protective-serv	Husband	White	Male	0	40	Philippines	<=50K

Original Data

	age	workclass	fnlwgt	education	education_num	marital_status	occupation	relationship	race	gender	hours_per_week	native_country	income_bracket
13990	40	Self-emp-not-inc	98985	HS-grad	9	Divorced	Exec-managerial	Not-in-family	Black	Male	50	United-States	<=50K
13991	53	Private	68684	HS-grad	9	Married-civ-spouse	Transport-moving	Husband	White	Male	40	United-States	<=50K
13992	17	Private	365613	10th	6	Never-married	Other-service	Own-child	White	Male	10	Canada	<=50K
13993	50	Private	155594	Assoc-acdm	12	Married-civ-spouse	Machine-op-inspct	Husband	White	Male	50	United-States	>50K
13994	27	Private	69757	Some-college	10	Never-married	Adm-clerical	Not-in-family	White	Female	60	United-States	<=50K
13995	39	Local-gov	178100	Masters	14	Divorced	Prof-specialty	Unmarried	White	Female	40	United-States	<=50K
13996	40	Private	226608	Some-college	10	Divorced	Tech-support	Not-in-family	White	Male	30	Guatemala	>50K
13997	37	Private	295127	HS-grad	9	Never-married	Machine-op-inspct	Not-in-family	White	Male	40	United-States	<=50K
13998	46	Private	149640	7th-8th	4	Married-spouse-absent	Transport-moving	Not-in-family	White	Male	45	United-States	<=50K
13999	57	Private	109015	Some-college	10	Divorced	Sales	Not-in-family	White	Female	48	United-States	<=50K

Synthetic Data

	age	workclass	fnlwgt	education	education_num	marital_status	occupation	relationship	race	gender	capital_gain	hours_per_week	native_country	income_bracket
13990	42	Private	194772.0	Prof-school	15	Married-civ-spouse	Handlers-cleaners	Husband	White	Male	0	30	United-States	<=50K
13991	28	State-gov	132551.0	Bachelors	13	Never-married	Other-service	Own-child	White	Male	0	40	United-States	<=50K
13992	53	Local-gov	34173.0	HS-grad	9	Married-civ-spouse	Transport-moving	Husband	White	Male	0	8	United-States	<=50K
13993	38	Local-gov	209103.0	Bachelors	13	Married-civ-spouse	Adm-clerical	Husband	White	Male	0	10	United-States	<=50K
13994	46	Private	48885.0	HS-grad	9	Married-civ-spouse	Transport-moving	Husband	White	Male	0	50	United-States	<=50K
13995	44	Private	193882.0	HS-grad	9	Divorced	?	Unmarried	White	Female	2202	40	United-States	<=50K
13996	40	Private	99185.0	Assoc-voc	11	Divorced	Sales	Unmarried	White	Female	0	40	?	<=50K
13997	41	Private	121130.0	HS-grad	9	Married-civ-spouse	Sales	Husband	White	Male	0	44	Canada	<=50K
13998	47	Private	201734.0	Assoc-voc	11	Married-civ-spouse	Sales	Husband	White	Male	0	40	Mexico	<=50K
13999	34	Private	34848.0	Some-college	10	Married-civ-spouse	Sales	Husband	White	Male	0	40	United-States	<=50K

Original Data

	age	workclass	fnlwgt	education	education_num	marital_status	occupation	relationship	race	gender	hours_per_week	native_country	income_bracket	# duplicates
2	25	Private	195994	1st-4th	2	Never-married	Priv-house-serv	Not-in-family	White	Female	40	Guatemala	<=50K	3
0	21	Private	250051	Some-college	10	Never-married	Prof-specialty	Own-child	White	Female	10	United-States	<=50K	2
1	23	Private	240137	5th-6th	3	Never-married	Handlers-cleaners	Not-in-family	White	Male	55	Mexico	<=50K	2
3	25	Private	308144	Bachelors	13	Never-married	Craft-repair	Not-in-family	White	Male	40	Mexico	<=50K	2
4	27	Private	255582	HS-grad	9	Never-married	Machine-op-inspct	Not-in-family	White	Female	40	United-States	<=50K	2
5	28	Private	274679	Masters	14	Never-married	Prof-specialty	Not-in-family	White	Male	50	United-States	<=50K	2
6	42	Private	204235	Some-college	10	Married-civ-spouse	Prof-specialty	Husband	White	Male	40	United-States	>50K	2

Synthetic Data

	age	workclass	fnlwgt	education	education_num	marital_status	occupation	relationship	race	gender	hours_per_week	native_country	income_bracket	# duplicates
0	19	?	124651.0	11th	7	Married-civ-spouse	Prof-specialty	Husband	White	Male	40	United-States	<=50K	2
1	30	Private	196396.0	Some-college	10	Divorced	Sales	Not-in-family	White	Female	45	United-States	<=50K	2
2	33	Private	206609.0	Bachelors	13	Married-civ-spouse	Sales	Husband	White	Male	40	United-States	<=50K	2
3	45	Private	266860.0	Masters	14	Married-civ-spouse	Exec-managerial	Husband	White	Male	40	United-States	<=50K	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Original Data

Synthetic Data

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Data

Synthetic Data

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Uppercase Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Data

Synthetic Data

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Data

Synthetic Data

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Uppercase Letter

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)